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Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches.

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Title: Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches.
Authors: Sethia, Khyati1, khyati.sethia@vsb.cz, Strakos, Petr1, petr.strakos@vsb.cz, Jaros, Milan1, milan.jaros@vsb.cz, Kubicek, Jan2, jan.kubicek@vsb.cz, Roman, Jan3, jan.roman@fno.cz, Penhaker, Marek2, marek.penhaker@vsb.cz, Riha, Lubomir1, lubomir.riha@vsb.cz
Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-95, 95p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186469689
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches.
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  Data: <searchLink fieldCode="AU" term="%22Sethia%2C+Khyati%22">Sethia, Khyati</searchLink><relatesTo>1</relatesTo>, <i>khyati.sethia@vsb.cz</i><br /><searchLink fieldCode="AU" term="%22Strakos%2C+Petr%22">Strakos, Petr</searchLink><relatesTo>1</relatesTo>, <i>petr.strakos@vsb.cz</i><br /><searchLink fieldCode="AU" term="%22Jaros%2C+Milan%22">Jaros, Milan</searchLink><relatesTo>1</relatesTo>, <i>milan.jaros@vsb.cz</i><br /><searchLink fieldCode="AU" term="%22Kubicek%2C+Jan%22">Kubicek, Jan</searchLink><relatesTo>2</relatesTo>, <i>jan.kubicek@vsb.cz</i><br /><searchLink fieldCode="AU" term="%22Roman%2C+Jan%22">Roman, Jan</searchLink><relatesTo>3</relatesTo>, <i>jan.roman@fno.cz</i><br /><searchLink fieldCode="AU" term="%22Penhaker%2C+Marek%22">Penhaker, Marek</searchLink><relatesTo>2</relatesTo>, <i>marek.penhaker@vsb.cz</i><br /><searchLink fieldCode="AU" term="%22Riha%2C+Lubomir%22">Riha, Lubomir</searchLink><relatesTo>1</relatesTo>, <i>lubomir.riha@vsb.cz</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Oct2025, Vol. 58 Issue 10, p1-95, 95p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186469689
RecordInfo BibRecord:
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        Value: 10.1007/s10462-025-11310-x
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      – Code: eng
        Text: English
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      – TitleFull: Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches.
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            NameFull: Sethia, Khyati
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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